The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on machine learning — spanning algorithms, applications, and techniques across computer science domains. One of the journal's largest and most active research areas.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
The rapid growth of computer networks has increased demand for more sophisticated tools for network traffic analysis and monitoring. The increasing reliance on networks has amplified the need for robust security and intr…
Breast cancer remains a highly heterogeneous disease for which it demands advanced computational techniques that can reveal significant biological patterns in high-dimensional epigenomic data. DNA methylation profiles ge…
Industrial facilities operating with toxic and explosive gases require continuous monitoring systems capable not only of detecting threshold exceedances but also of anticipating hazardous trends. Conventional IoT-based g…
The rapid expansion of 5G enabled Vehicle to Everything (V2X) communication has evolved into an intelligent transportation system by supporting applications such as autonomous driving, real-time traffic optimization, and…
Alzheimer’s disease is a progressive neurodegenerative disorder for which early detection remains a significant challenge due to the complexity of clinical features and the high dimensionality of medical data. This study…
Blood supply chains constitute a critical yet often overlooked component of modern public health systems, as they coordinate donors, collection centers, hospitals, and patients. One of the major operational challenges li…
Parkinson’s disease (PD) is a progressive neurodegenerative disease that impacts motor and cognitive functions, and early diagnosis and management are essential to enhance patient outcomes. The study assumes the implemen…
Conventional educational strategies fail to comprehend and leverage the diversity of learners’ cognitive strengths and overlook their innate intelligence, a fundamental driver of learning. To address this gap, this study…
Supervisory Control and Data Acquisition (SCADA) systems are central to the efficient operation of critical infrastructure such as energy, water, and industrial networks. However, the increased digital integration of SCA…
Real-time motion planning for autonomous parking on embedded advanced driver-assistance system (ADAS) platforms faces a fundamental computational bottleneck: transformer-based approaches (e.g., Motion Planning Trans-form…
